Enhancing privacy-preserving mechanisms in Cloud storage: A novel conceptual framework

Abstract

Data privacy is critical for users who want to use Cloud storage services. There is a significant focus on Cloud service providers to address this need. However, in the evolving dynamic cyber-space, privacy infractions are rising and pose threats to Cloud storage infrastructures. Several studies developed various models and techniques to ensure the privacy of Cloud storage contents. However, these models came with several shortages in the privacy-preserving attributes they cover. Thus, this article identified a comprehensive set of Cloud data storage privacy-preserving attributes to propose a flexible and efficient framework to handle the privacy problem. This framework uses a multi-layer encryption storage structure and a one-time password authentication technique. The findings of this article intend to help future communities to enhance existing techniques or develop new research-based practical alternatives. Since Cloud computing is a rapidly growing technology, new privacy vulnerabilities emerge daily. Future research might confirm the findings of this article and test the suggested framework in different contexts.